Epidydemis

Epidydemis — CS2 Stats

NO76561197998638893[U:1:38373165]Steam profile ↗✓ No bans

932Tracked matches60%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
Premier CS Rating20,115Top 50% of 211,494 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#80817 of 258598 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,115 +3,646 18 May – 28 Oct · 16 days played
15,54120,115peak 20,11518 May28 Oct
20,115Peak Premier in tracked matches
38Days played since 2026-05-18

Premier CS Rating

  • At peak — 20,115
  • +1,585 over 30 days · improving
  • Next: Red band at 25,000 — 4,885 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGEpidydemisFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER20,115 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning40
Utility53

0–100 skill scores via Leetify.

Recent form

HOT59–40–1Last 10059%Win rateWLLWWWWWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −5.5pp headshot accuracy · −45ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 475ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 549ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 572ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim6.4
Utility5.3
Positioning4.0
Opening Duels0.0
Clutch3.2

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 82% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.4
Positioning4.0
Utility5.3
Mechanics6.4
Opening Duels0.9
Win Impact8.3

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time573ms−47ms
first ⅓ avg 620ms → last ⅓ avg 573ms
Headshot accuracy12.4%+1.2%
first ⅓ avg 11.2% → last ⅓ avg 12.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.12Best match rating · 13–8 · ancient, 20 Jun →
39%Best headshot accuracy · 13–7 · inferno, 24 Sept →
414msFastest reaction time · 13–5 · inferno, 22 Oct →
13–0Biggest win · cache, 13 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 88% over 17nukeWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
ancientA2112–957%-0.01
anubisS1715–288%-0.02
infernoB179–853%-0.03
nukeC167–944%-0.03
cacheB126–650%-0.02
mirageA85–363%-0.03
dust2B84–450%-0.01
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

144Matches
52%Win rate
0.92Avg K/D
71.9ADR
32%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis3959%1.0515.6
Inferno2352%0.9213.3
Nuke2250%0.7710.8
Ancient2162%0.8314.2
Mirage2133%0.9112.8
Dust2850%0.8714.8
Overpass757%0.9915.7
Cache333%0.7312.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.1%Headshot accuracy
35.6%Accuracy (enemy spotted)
39.7%Spray accuracy
78.6%Counter-strafing
10.6°Preaim
568msReaction time
33.0%T opening success
34.3%CT opening success
0.47Enemies flashed / flash
5.3%Flash assists
8.44HE damage / grenade
4.77Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.0589% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4711 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 33.0247% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.079%28 Oct →
nuke10–13-0.052%28 Oct →
cache9–13-0.046%28 Oct →
anubis13–7-0.0410%22 Oct →
inferno13–5-0.0514%22 Oct →
mirage16–13-0.077%22 Oct →
cache13–00.045%13 Oct →
cache13–6-0.0210%13 Oct →
dust210–130.0112%13 Oct →
nuke13–4-0.0118%4 Oct →
ancient4–13-0.0413%4 Oct →
dust25–13-0.0210%26 Sept →
mirage5–13-0.0215%26 Sept →
dust210–130.0215%26 Sept →
ancient13–11-0.0712%25 Sept →
inferno11–13-0.067%25 Sept →
mirage13–11-0.0411%25 Sept →
dust216–140.0111%25 Sept →
inferno13–7-0.0139%24 Sept →
anubis13–80.0115%23 Sept →
cache13–11-0.0422%11 Sept →
nuke10–13-0.0615%11 Sept →
inferno19–150.007%11 Sept →
ancient13–90.029%3 Sept →
nuke4–13-0.0613%27 Aug →
inferno6–13-0.0813%27 Aug →
mirage3–13-0.0612%27 Aug →
nuke13–9-0.028%23 Aug →
anubis13–7-0.0121%23 Aug →
ancient13–11-0.039%23 Aug →
ancient16–14-0.0116%20 Aug →
inferno14–16-0.0513%20 Aug →
nuke1–13-0.0911%19 Aug →
inferno13–5-0.0028%19 Aug →
nuke11–13-0.0111%19 Aug →
cache6–130.0012%19 Aug →
nuke10–13-0.0413%28 Jul →
anubis13–10-0.0611%28 Jul →
ancient13–30.0314%28 Jul →
dust213–6-0.095%27 Jul →
ancient10–130.0314%27 Jul →
mirage13–6-0.030%2 Jul →
anubis16–13-0.067%2 Jul →
inferno13–100.0010%2 Jul →
anubis9–13-0.0310%2 Jul →
anubis13–6-0.027%2 Jul →
ancient13–80.129%20 Jun →
nuke13–11-0.0119%14 Jun →
anubis13–5-0.070%14 Jun →
overpass13–6-0.029%12 Jun →
anubis13–40.016%12 Jun →
ancient10–13-0.0218%12 Jun →
inferno9–13-0.038%12 Jun →
ancient9–13-0.029%12 Jun →
nuke9–13-0.065%10 Jun →
ancient13–6-0.0610%10 Jun →
cache13–50.0414%10 Jun →
cache12–12-0.0415%10 Jun →
inferno9–13-0.0411%10 Jun →
nuke13–10.049%9 Jun →
anubis13–6-0.0211%9 Jun →
dust29–13-0.035%8 Jun →
anubis13–50.047%8 Jun →
ancient13–6-0.0319%8 Jun →
ancient22–180.026%7 Jun →
anubis22–20-0.0016%7 Jun →
ancient8–13-0.013%7 Jun →
cache13–8-0.076%5 Jun →
cache6–13-0.0410%5 Jun →
nuke13–10-0.024%4 Jun →
ancient5–13-0.037%4 Jun →
inferno13–90.0914%4 Jun →
anubis13–90.018%1 Jun →
dust213–8-0.0116%1 Jun →
mirage13–7-0.0010%1 Jun →
ancient13–16-0.0313%1 Jun →
inferno7–13-0.069%31 May →
mirage13–40.0218%31 May →
cache13–11-0.049%31 May →
inferno16–13-0.069%29 May →
nuke13–5-0.020%29 May →
cache6–13-0.002%29 May →
inferno13–80.0010%29 May →
anubis13–40.0518%28 May →
anubis13–8-0.0210%27 May →
mirage10–13-0.055%26 May →
nuke16–14-0.0411%25 May →
ancient11–130.0016%25 May →
ancient13–7-0.0014%25 May →
nuke10–13-0.0112%25 May →
anubis9–130.0113%24 May →
ancient13–8-0.018%24 May →
ancient4–13-0.094%23 May →
inferno13–80.044%23 May →
cache11–13-0.0112%22 May →
inferno9–13-0.0615%21 May →
dust213–20.0631%21 May →
nuke11–13-0.0414%18 May →
anubis13–7-0.0616%18 May →
inferno3–13-0.1225%18 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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